Extract estimates and statistics from a single model
extract_estimates(
model,
statistic = "std.error",
statistic_override = NULL,
statistic_vertical = TRUE,
conf_level = 0.95,
fmt = "%.3f",
stars = FALSE,
...
)object type with an available `tidy` method.
string name of the statistic to include in parentheses
Typical values: "conf.int", "std.error", "statistic", "p.value"
Alternative values: any column name produced by `broom::tidy(model)`
manually override the uncertainy estimates. This argument accepts three types of input:
a function or list of functions of length(models) which produce variance-covariance matrices with row and column names equal to the names of your coefficient estimates. For example, `R` supplies the `vcov` function, and the `sandwich` package supplies `vcovHC`, `vcovHAC`, etc.
a list of length(models) variance-covariance matrices with row and column names equal to the names of your coefficient estimates.
a list of length(models) vectors with names equal to the names of your coefficient estimates. Numeric vectors are formatted according to `fmt` and placed in brackets, character vectors printed as given.
TRUE if statistics should be printed below estimates. FALSE if statistics should be printed beside estimates.
confidence level to use for confidence intervals
string which specifies how numeric values will be rounded. This string is passed to the `sprintf` function. '%.3f' will keep 3 digits after the decimal point with trailing zero. '%.5f' will keep 5 digits. '%.3e' will use exponential notation. See `?sprintf` for more options.
to indicate statistical significance
FALSE (default): no significance stars.
TRUE: *=.1, **=.05, ***=.01
Named numeric vector for custom stars such as `c('*' = .1, '+' = .05)`
all other arguments are passed to the `tidy` method used to extract estimates from the model. For example, this allows users to set `exponentiate=TRUE` to exponentiate logistic regression coefficients.
data.frame with side-by-side model summaries